Makes me want to play that alien flute.

Tea. Earl Grey. Hot.

Someone has already pointed this out, but it bears repeating. For that to actually be true, they would need to cost more from the budget than they add to it through both direct taxation, and the tax revenue generated through the effects of their labor and other economic activity on the GDP. Virtually all studies show that they're actually a net benefit there.

Perhaps for the LEGAL migrants...but not for the ILLEGAL migrants...they are a burden on the US taxpayer.....they're usually paid under the table, off the books and are the ones clogging up our ERs and classrooms.

If you are curious here is a quick live example. As part of an automated hunt for quotes on something there is a process that tries public contact methods. To avoid spam people use contact forms on websites and try to detect bots but we also scrape their page for contact information. In this case the system failed to detect the form AND incorrectly scraped an example from an email text-box on the form. This is a first pass proposal. It doesn't mention all the routine tests like unit tests on the code and remediating automated checks because I don't want it cluttering up the proposal. But note it proposes both a sandboxed model test for the logic as well as the final production test.

The last bit an estimated token cost to make the change. If the numbers supported it he'd split it into multiple units of work and smartly manage subagents to execute eligible pieces in parallel that are estimated to be big enough to justify it while being small enough to fall within the 'smart window' context size [LLMs seem to get... dumber... beyond a certain fill threshold in their context window]. Company name changed to protect the innocent.

It will take longer for me to write this reply than this proposal to be executed, including building the sandboxed test.

"
  PROPOSAL #834 and #833: Someone of Harrisburg's quote form (Ted, 2026-10-29)

  What I found (read-only): the sub's website on record is the franchise page someone.com/harrisburg-il. The form search never opens that page, because it tries /contact, /quote and the home page at the root of the domain. Those pages belong to the national brand, so a form found there would reach corporate, not the Harrisburg owner. The franchise page does carry the quote form. It is built on the Neighborly platform: fields marked data-nbly, labelled but with no name attributes, sent by script. The form detector does not recognize it, which is why resolve returned form=-. The same form's email box has the placeholder "ex. johnsmith@gmail.com", and the resolver harvested that as the sub's email (#833).

  Plan, one ticket under #834 with #833 folded in:
  1. Form search: open the recorded website page itself first, with tracking parameters stripped. A form on the company's own page beats one on the brand's national pages.
  2. Detection: recognize the Neighborly form and fill it through the browser path by its labels. Add an offline replay test built from the saved page.
  3. #833: the resolver never takes an email from an input's placeholder or value. Add a test, and clear sub 1767's stored email through the stage's re-run, not by hand.
  4. Re-run resolve for sub 1767 to confirm the form is recorded. Then reset-form so the contact stage sends the form and the text, as Shaitan said.
    Estimate about 120k.

If you approve it, send "execute 834".

Not like IPv6 solves anything with lots of ISP blocking inbound IPv6 connections.

But,, but, but.....I thought "Data Centers == Bad"...?

Ellison's Paramount Skydance Warner Bros Discovery - and movies/TV can be very subtle in pushing a narrative or shaping public opinion.

As opposed to all the subtle (and lately not so subtle) narratives the current folks have been pushing for years now?

"I am curious as to how well junior and/or new devs do in an environment like that"

I'm not sure 'new devs' is going to be a thing at scale for long. Just a much smaller number of architects/engineers approving and designing specs and even that'll go eventually because you can't direct the AI without giving them the training input they need to train on. I currently have no intention of ever introducing any. Microsoft just got suspended from the H1B program and is offering to pay 60k volunteers for layoffs. Adobes entire portfolio, office, autocad, fusion 360, and many other flagship commercial software products have been reverse engineered by AI and released as free open source projects in just the past month or while not perfect they are WAY closer clones than you'd expect and with bugs being submitted and fixed faster than the real vendors could dream of they'll surpass the official versions quickly. In fact they already do in some ways, all those things are fully cross platform on linux and mac and have apis tied to every functional aspect so your AI can automate using them without a GUI.

"BTW, if you have automated testing for *all* of your code, count yourself very lucky. No company I've worked at in my 35+ years has ever given me the time to create everything needed for full testing"

That is definitely fair. A big advantage here is that it's up to me and I could scratch build everything with that in mind from the start and the fact that I can have AI build the tests from the spec and as it goes while building the code itself. Even every routine operational script monitoring disk as a test suite that has to pass after any bug fix. It's pretty comprehensive but 'everything' is a strong word.

"Reviews are 1 way I mentor the juniors with things like "while what you have works, those 5 lines can be done with 1 line like *this*" ... or "did you know we already have a tool that does that, which you've duplicated so you need to use that?" ... or "I see you've solved for the happy path, but did you consider what will happen when you get input like *this*, which I've seen with 3 customers?"

This is what I do with the proposals/specs from the 'Ted' the developer AI. Not the code itself because I never even look at it. Ted's biggest habitual problem is overfitting his design to the exact thing that went wrong when a couple changes to his design produces a solution that solves an umbrella of problems. But 'Ted' has a constitution guiding him and a calibration system, he searches for lessons and principles in my correction and builds and adapts his own internal calibration over time. His calibrations become part of a semantic vector db that augments his memory. He also has a craft library [we aren't depending on fragmented memorization in his weights] so any manuals, documentation, vendor resources get captured and similarly indexed. That's all important because it transfers when I swap out models. I've tried to utilize some basic form of the scientific method in each step of this so every piece builds a logical model of operation that builds over time.

What?

Re-read what you wrote and go off and think about it...

HJKL navigation is not QWERTY-dependent, it works just fine on Dvorak-layout keyboards, although key placement/layout is a bit non-sensical, but "h" Dvorak moves the cursor exactly the same way "h" does on QWERTY.

EMACS is my favorite operating system...

Right that is the real problem isn't. Google has not yet worked exactly how to stuff enough ad impressions to make money without destroying the utility the user is getting out of the experience to the point they are likely to abandon Google for a traditional search engine or go pay for Chat-GPT or something.

Really 'ad words' in AI summaries ought to be "easy" from an implementation standpoint. The 'problem' is doing its going to use even more tokens that need to be paid for.

I agree

The winners here are going to be people with actual hardware IP (Nvidia, Apple, others), people with actual hardware fabs, and likely Google and Meta. I predict despite the current crazy valuations the Magnificent-7 eventually end up acquiring the leading AI labs.

The real costs are in building models, not hosting them comparatively speaking and that picture only improves as the energy infrastructure and hardware markets gradually align to the volume demands. The labs are already just reselling the hyperscallers computer, there is no reason those guys are not going to take 'good enough' models and beat them on price.

Having the 'best' models is an asset someone with existing SaaS, Marketing, etc business on the hand can leverage and by extension justify the expense. That is why I see OpenAI and Anthropic eventually becoming acquisition targets once the gold-rush investors capitulate on their valuations.

The option is for them to get directly into the datacenter biz (not contracting for them and agreeing consumption commitments but actually building them and owning the dirt all they way up to the roof top chillers. Anthropic seems to be trying to make that play but I still don't know where the revenue will really come from...

He played a Russian. He wasn't Russian.

This guy tests out Gridcaft (an AI-cloned version of Excel, written in Rust): https://www.youtube.com/watch?.... Does something with pivot tables.

Seems impressive, but it doesn't do Excel macros.

My code? I just told you I don't write code anymore but no, at no point in the past two decades of working in fortune 500 enterprise environments have I routinely had to have someone else review all my code. Transparent with other people working on the codebase and seeing it? Sure. But no mandatory code reviews. Not every environment works the same way yours does and also producing code has always been a skill I utilize in my job functions, not the entire job function. I have no idea how they do things in software mills or SV projects.

That said I've definitely built and managed the pipelines used by teams of devs. Are there reviews? Yes. Human reviews? Maybe. Who cares? Humans are as likely to introduce bugs as remove them so 40 human reviews produces code I'd trust no more or less than the first draft. Automated testing, unit testing, functional testing, procedures to detect and heal from faults, resilient and highly available systems with redundancy, and a robust phased or CI pipeline with every element deployed with no trust and tightly controlled seams. The boat I'm in charge of is going to stay sailing and on course even if we all discover the crew died at some point and chunks of ice were randomly chocked through the window hitting the wheel.